MAAT MCP Restaurant Finder

Name: MAAT MCP Restaurant Finder
Author: akaTEDDY

@akaTEDDY

リポジトリ

MAAT MCP Restaurant Finder について

概要はまだありません

#restaurant-finder #mcp #location-based-recommendation

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

akaTEDDY

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "maat_mcp_server": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MAAT MCP Restaurant Finder?

MAAT MCP Restaurant Finder is a remote MCP server that provides restaurant search and recommendation services. It searches for nearby restaurants based on user location, offers random restaurant recommendations, and supports category-based search (Korean, Chinese, Japanese, Western, etc.). It is built with Python 3.8+, FastMCP 0.4.1+, and uses Google Maps API and iplocation API.

How to use MAAT MCP Restaurant Finder?

Clone the repository, install dependencies from requirements.txt, set environment variables GOOGLE_MAPS_API_KEY and IPLOCATION_API_KEY in a .env file, then run python main.py. For Claude Desktop integration, configure with npx mcp-remote http://localhost:8000/sse and the GOOGLE_MAPS_API_KEY environment variable.

Key features of MAAT MCP Restaurant Finder

Location-based restaurant search
Random restaurant recommendation based on current location
Category-based search (Korean, Chinese, Japanese, Western)
Exposes tools find_restaurants and recommend_random_restaurant
Provides resource maat://restaurant_results and prompt 맛집 검색
Remote MCP server using SSE transport

Use cases of MAAT MCP Restaurant Finder

Find nearby restaurants by location
Get a random restaurant recommendation
Search restaurants filtered by cuisine category
Integrate restaurant discovery into AI assistant workflows

FAQ from MAAT MCP Restaurant Finder

What APIs does the server require?

It requires a Google Maps API key and an iplocation API key, set via GOOGLE_MAPS_API_KEY and IPLOCATION_API_KEY environment variables.

How do I run the server?

After installing dependencies and setting environment variables, run python main.py from the project root.

What tools and resources are available?

Tools: find_restaurants and recommend_random_restaurant. Resource: maat://restaurant_results. Prompt: 맛집 검색.

How do I configure it with Claude Desktop?

Add an entry in claude_desktop_config.json using the command npx mcp-remote with args ["http://localhost:8000/sse"] and environment variable GOOGLE_MAPS_API_KEY.